Radar Chart
Organization Culture Assessment
Radar chart comparing organizational culture dimensions across different departments including innovation, collaboration, work-life balance, and growth opportunities.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# Culture dimensions
categories = ['Innovation', 'Collaboration', 'Work-Life Balance',
'Growth Opportunities', 'Recognition', 'Transparency',
'Diversity & Inclusion', 'Employee Engagement']
engineering = [92, 85, 70, 88, 75, 82, 80, 78]
sales = [70, 88, 65, 82, 90, 75, 78, 85]
hr_dept = [78, 92, 88, 80, 85, 90, 95, 82]
operations = [65, 80, 75, 72, 70, 78, 82, 75]
N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]
engineering += engineering[:1]
sales += sales[:1]
hr_dept += hr_dept[:1]
operations += operations[:1]
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
ax.plot(angles, engineering, 'o-', linewidth=2.5, color='#27D3F5', label='Engineering', markersize=7)
ax.fill(angles, engineering, alpha=0.1, color='#27D3F5')
ax.plot(angles, sales, 's-', linewidth=2.5, color='#F5276C', label='Sales', markersize=7)
ax.fill(angles, sales, alpha=0.1, color='#F5276C')
ax.plot(angles, hr_dept, '^-', linewidth=2.5, color='#6CF527', label='Human Resources', markersize=7)
ax.fill(angles, hr_dept, alpha=0.1, color='#6CF527')
ax.plot(angles, operations, 'D-', linewidth=2.5, color='#F5B027', label='Operations', markersize=7)
ax.fill(angles, operations, alpha=0.1, color='#F5B027')
ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#374151', fontweight='500')
ax.set_ylim(0, 100)
ax.yaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#d1d5db', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#d1d5db')
ax.set_title('Organizational Culture by Department', fontsize=16, color='#1f2937',
fontweight='bold', pad=25)
ax.legend(loc='upper right', bbox_to_anchor=(1.22, 1.1), fontsize=10,
frameon=True, facecolor='white', edgecolor='#e5e7eb')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Polar Charts
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